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To investigate amino acid degradation pathways in Sulfolobus solfataricus transcriptome, proteome and metabolome analyses were performed on cells grown on caseinhydrolysate as carbon source. Cells grown with glucose served as reference condition. Metabolic modelling was used to compare the efficiency of different degradation routes.
Person responsible: Jacqueline Wolf
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Altering the light:dark cycle of standard growth conditions and standard 'wild-type' Arabidopsis accession, with sucrose, starch and biomass data for whole rosettes
Standard growth conditions and standard 'wild-type' Arabidopsis accession, with biomass data for whole rosettes, and in some cases, individual leaf area and leaf biomass data
Standard growth conditions and 'wild-type' Arabidopsis accessions other than Col-0 and the 35S:miR156 transgenics, with biomass data for whole rosettes, and in some cases, individual leaf area and leaf biomass data
D Biphasic control of stem-cell expansion, where stem-cell expansion is low both at high and low concentrations of y. The system has a stable fixed point at the concentration of y where pr = 0.5 and an unstable fixed point at some lower concentration of y.
C A mutated stem cell with a strong inactivation of the sensing of y has a
growth advantage (differentiates less), and therefore, it invades the stem- cell population. As a result, both the stem-cell pool and the number of terminally differentiated cells increase.
Mathematical simulation of a tamoxifen-induced conditional knock-in of a sixfold activating GCK mutant in beta cells. (C) The percentage of beta cells with mutated GCK increases to ~25% after 3 days, but then decreases and is eliminated after a few weeks. (D) Glucose levels initially decrease after the tamoxifen injection, but return to normal after a few weeks. Insets: Experimental results of Tornovsky-Babeay et al (2014).
C Trajectories of Z from different initial concentrations of cells (Z) (i) or y (ii) for the circuit of (B). The healthy concentration Z = ZST is reached regardless of initial
concentration of Z, as long as it is nonzero, and regardless of the initial concentration of y.
D An arrow marks the time when a mutant with a strong activation of the sensing of y arises (for the circuit depicted in B). This mutant has a selective advantage and
takes over the population.
G Trajectories of Z from different initial concentrations of Z (i) or y (ii) for the circuit depicted in (F). The healthy concentration Z = ZST is not reached for small values of
Z (Z << ZST) or large values of y (y >> yUST).
H The arrows mark the times when a mutant with a strong activation of the sensing of y arises (for the biphasic circuit depicted in F). This mutant has a selective
disadvantage and is thus eliminated.
C Numerical simulations of the RpoD6 wild-type network show a shoulder of expression trailing the main peak (red line). All the parameters describing the clock and
SigC are as in Fig 4B, and only the threshold of activation of the rpoD6 promoter by the clock was modified. Numerical simulations of a SigC knock-out model (in
which the terms representing the regulation of RpoD6 by SigC are set to zero) show only single-peaked oscillations (blue line).
D The incoherent feedforward loop circuit that
Numerical simulations of the wild-type network show double peaks of expression (red line), and numerical simulations of a SigC knock-out model (in which the terms representing the regulation of PsbAI by SigC are set to zero) show only single-peaked oscillations (blue line)..